EENRAT • Assessment Tool • RECAP

Risk Exposure & Capability Analysis Profile (RECAP)

Measure risk exposure and capability in a single model to surface residual risk and control gaps. Build a prioritized, execution-ready roadmap for resilience investments.

Start RECAP assessment Explore sample outputs
Executive-grade insights with audit-level traceability.
Executive snapshot
Coverage 100%
REI
33.57
Academic model: E/V → RME; residual exposure REI = RME × (1 − C) (weighted across dimensions).
Confidence
100%
91/91 items
REI
33.57
Higher = higher residual exposure
Resilience Level
66.43
0–100 (higher = better)
RME
51.94
Risk mean exposure (from E/V)
CI
34
Capability index

What RECAP delivers

Built for decision-makers who need to see risk, controls, and priorities in a single, actionable view.

Risk-adjusted clarity

Reveal where exposure remains high because capability is insufficient.

Prioritized investment

Translate analytics into P1–P4 priorities and targeted interventions.

Execution-ready roadmap

Owners, KPIs, and phased delivery built into the report.

Sample report snapshot

Illustrative summary of the RECAP output structure.
Sample
Email
sample@gmail.com
Company
Bursa Aknaz Makine Ltd Åžti.
Sector
Manufacturing Industry
City
Bursa
Country
Türkiye
Coverage: 100% Items: 91/91 Confidence: 100% Generated at: 2026-01-05T16:40:08+00:00

Why RECAP

RECAP brings exposure and capability into a single, interpretable model to reveal residual risk and guide improvement decisions.

  • Risk-adjusted gaps: where risk stays high because capability is low.
  • Clear prioritization (P1–P4) for intervention planning.
  • Action plan roadmap with phases (0–90 / 90–180 / 180+ days).
  • Benchmark comparisons against subsector/country/city averages.
Academic model
E (Exposure), V (Vulnerability/Sensitivity), C (Adaptive Capacity / Control Strength) are scored per dimension (0–100).
RMEd = α·Ed + β·Vd (α+β=1)
Rd = clamp(0,100, RMEd · (1 − Cd/100))
REI = Σ (wd · Rd) , Σwd=1
Resilience Level = 100 − REI
REI: REI reflects residual exposure (residual risk) after capability is accounted for. Resilience Level is displayed as 100 − REI.

Sample outputs

Executive-ready visuals with technical traceability and decision support.

Results overview
Top-level REI, Resilience Level, RME, CI, coverage and confidence.
RECAP
Dimension heatmap
E/V/Risk/Capability/Residual per dimension, plus priority and ΔR@+10C sensitivity.
Diagnostics
Risk–Capability Matrix
Quadrant view highlighting critical risk/control gaps.
Priorities
Action plan & roadmap
P1–P4 items with owners, KPIs, expected impact and deliverables.
Execution
Benchmark comparison (Residual R_d)
Radar axes show residual risk across 10 dimensions; compare firm vs subsector/country/city averages.
Benchmark
Firm
R_d values from your survey results.
Subsector
Average R_d of firms in the same subsector.
Country
Average R_d of firms in the same country.
City
Average R_d of firms in the same city.

How it works

A structured flow that converts survey data into executive insights and a practical action plan.

1
Collect signals
Survey inputs capture exposure, vulnerability, and current capability.
2
Compute residual risk
RME (from E/V) and capability are combined to quantify residual exposure per dimension.
3
Prioritize & plan
P1–P4 priorities feed a phased roadmap and action plan.

How to read the metrics

RECAP is explainable by design: every score links to a specific operational meaning.

  • REI — Residual exposure (residual risk) after capability is accounted for.
  • Resilience Level — Displayed as 100 – REI for intuitive interpretation (higher is better).

  • RME — Baseline risk signal from exposure/vulnerability across dimensions (higher is worse).
  • CI — Current control strength / capability maturity (higher is better).

Each dimension is decomposed into:

  • E — Exposure to the risk domain.
  • V — Structural sensitivity / fragility signals.
  • RMEd — Dimension risk derived from E/V.
  • C — Control strength in that dimension.
  • Rd — Residual risk after capability is considered.
ΔR +10C — Estimated residual reduction if capability increases by 10 points (linear model assumption: ΔR ≈ RME_d × 0.10).

The matrix plots capability on X (higher is better) and residual risk on Y (higher is worse).

  • P1 (Critical): High Risk / Low Capability.
  • P2 (High): High residual risk; focused improvement candidates.
  • P3 (Medium): Stabilization / selective improvements.
  • P4 (Low): Maintain / monitor.

Data quality & interpretability

Coverage and confidence are reported explicitly to prevent over-interpretation and enable audit-grade traceability.

Coverage
100%
91/91
Confidence
100%
Consistency & completeness
Interpretation tip
Start with P1 dimensions. Use ΔR@+10C to estimate where capability investments deliver the largest residual reduction.

Turn diagnostics into an execution roadmap

RECAP is built for practical execution: clear priorities, accountable owners, measurable KPIs, and phase-based planning.

Start RECAP assessment Review outputs again